Online Learning as Stochastic Approximation of Regularization Paths: Optimality and Almost-Sure Convergence
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: 2014DOI: 10.1109/TIT.2014.2332531
Keyword(s): Hilbert spaces,approximation theory,learning (artificial intelligence),minimax techniques,regression analysis,stochastic processes,Bernstein-type inequalities,RKHS,almost sure convergence,batch learning setting,mean square distance,minimax,online learning algorithm,optimality convergence,regression function,regularization paths,reproducing kernel Hilbert spaces,stochastic approximation,Approximation methods,Convergence,Educational institutions,Hilbert space,Kernel,Probabil
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Online Learning as Stochastic Approximation of Regularization Paths: Optimality and Almost-Sure Convergence
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| contributor author | Tarres, Pierre | |
| contributor author | Yuan Yao | |
| date accessioned | 2020-03-13T00:10:46Z | |
| date available | 2020-03-13T00:10:46Z | |
| date issued | 2014 | |
| identifier issn | 0018-9448 | |
| identifier other | 6842642.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1137256 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Online Learning as Stochastic Approximation of Regularization Paths: Optimality and Almost-Sure Convergence | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8319114 | |
| subject keywords | Hilbert spaces | |
| subject keywords | approximation theory | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | minimax techniques | |
| subject keywords | regression analysis | |
| subject keywords | stochastic processes | |
| subject keywords | Bernstein-type inequalities | |
| subject keywords | RKHS | |
| subject keywords | almost sure convergence | |
| subject keywords | batch learning setting | |
| subject keywords | mean square distance | |
| subject keywords | minimax | |
| subject keywords | online learning algorithm | |
| subject keywords | optimality convergence | |
| subject keywords | regression function | |
| subject keywords | regularization paths | |
| subject keywords | reproducing kernel Hilbert spaces | |
| subject keywords | stochastic approximation | |
| subject keywords | Approximation methods | |
| subject keywords | Convergence | |
| subject keywords | Educational institutions | |
| subject keywords | Hilbert space | |
| subject keywords | Kernel | |
| subject keywords | Probabil | |
| identifier doi | 10.1109/TIT.2014.2332531 | |
| journal title | Information Theory, IEEE Transactions on | |
| journal volume | 60 | |
| journal issue | 9 | |
| filesize | 403231 | |
| citations | 0 |